This project is a continuation of the work being done by this project group around the use of satellite images to forecast crop yields. The project is possible owing to the unique data sets we have within the project.
The project consists of 5 work packages:
- WP1: To create a foundation model for cereal crops in Sweden
- WP2: Improve the accuracy of the previous ML models for predicting aboslute yield
- WP3: Expand the available data by using satellite imagery to confirm crop type and field boundaries
- WP4: Develop a model of yield in sugar beet at the inter-field level
- WP5: Develop a model of yield in sugar beet at the intra-field level
The project fits within Hushållningssällskapet Skåne’s Focus Areas of Digitalisation of Agriculture, Precision Agriculture, & Forecasting.
This project is sponsored by the Swedish National Space Agency (Rymdstyrelsen) through the Applied Space R&D program (Rymdtillämpningsprogrammet).
- Timespan: 2025-03 to 2027-12
- Budget: 5,5 MSEK
- Partners: Nordic Beet Research, Mathematics centre at LTH, Niftitech, AgTech Sweden.
